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dplyr is an R package whose set of functions are designed to enable dataframe (a spreadsheet-like data structure) manipulation in an intuitive, user-friendly way. It is one of the core packages of the popular tidyverse set of packages in the R programming language. [1]
R (programming language) language toolkit Linux, macOS, Windows: Artistic 2.0 Fred Hutchinson Cancer Research Center: BioJava: Java library functions for manipulating sequences, protein structures, file parsers, CORBA interoperability, Distributed Annotation System (DAS), access to AceDB, dynamic programming, and simple statistical routines
The Blender Studio platform, launched in March 2014 as Blender Cloud, [161] [162] [163] is a subscription-based cloud computing platform where members can access Blender add-ons, courses and to keep track of the production of Blender Studio's open movies. [164] It is currently operated by the Blender Studio, formerly a part of the Blender ...
[4]: 139, 211 These built-in functions are designed to handle missing data, usually represented by the floating-point value NaN. [4]: 142–143 Subsets of data can be selected by column name, index, or Boolean expressions. For example, df[df['col1'] > 5] will return all rows in the DataFrame df for which the value of the column col1 exceeds 5.
R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
The Oracle Database SYS_GUID function does not return a standard GUID, despite the name. Instead, it returns a 16-byte 128-bit RAW value based on a host identifier and a process or thread identifier, somewhat similar to a GUID. [34] PostgreSQL contains a UUID datatype [35] and can generate most versions of UUIDs through the use of functions ...
For the Dempster–Shafer theory, each state equation or observation is considered a special case of a linear belief function and the Kalman filtering is a special case of combining linear belief functions on a join-tree or Markov tree. Additional methods include belief filtering which use Bayes or evidential updates to the state equations.